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Python Financial Jobs in Charlotte, NC (NOW HIRING)

Accenture

Python Developer 6254661

Charlotte, NC · On-site

$26.39 - $72.31/hr

JS and Python experience (Multi Threading, ORM libraries, Web framework DJango/Flask UNIX ... and Banking Finance Domains * Minimum of an Associate's Degree Preferred Qualifications:

1 point system

Python Developers w/Cap Markets

Charlotte, NC · On-site

$49 - $67.75/hr

Advanced knowledge of Python * Creative, quick-thinking and an aptitude for solving problems with ... Knowledge or various financial instruments Bonds, Interest rate swaps, Repo and FX products.

US Bank

Credit Risk Python Architect

Charlotte, NC · On-site

$111K - $131K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... We are seeking a Python developer / solutions architect to drive forward our next-gen model ...

Zortech Solutions

Python Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Requires Pyspark Python S3 Dremio ETL skills. Some financial exp would be beneficial. ProfitView modernization effort Resource will be responsible for end-to-end development covering portions of ...

LPL Financial

Analyst, Finance Systems

Fort Mill, SC · Remote

$58K - $96K/yr

... their financial goals. The Finance Systems Analyst, reports to the Vice President of Finance ... Familiarity with Python or SQL * Minimum of 1-2 years of professional experience is required Core ...

Dexian

Python Developer with Capital Markets

Charlotte, NC · On-site

$49 - $67.75/hr

Advanced knowledge of Python Creative, quick-thinking and an aptitude for solving problems with ... Knowledge or various financial instruments Bonds, Interest rate swaps, Repo and FX products.

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All JobsPython Financial JobsPython Financial Jobs in Charlotte, NC

Python Financial information

See Charlotte, NC salary details

$12

$57

$84

How much do python financial jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python financial in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

What are some common projects or tasks Python Financial professionals work on in a typical week?

Python Financial professionals commonly work on building and maintaining financial models, analyzing large datasets for trends or anomalies, and automating data collection and reporting processes. They often collaborate with other analysts and finance teams to develop tools that improve efficiency or support investment decisions. Additionally, they may create data visualizations, backtest trading algorithms, and present findings to stakeholders. The work is typically fast-paced and project-driven, offering opportunities to contribute directly to financial strategy and performance.

What is a Python Financial job?

A Python Financial job involves using Python programming to analyze financial data, develop trading algorithms, automate financial processes, or build risk models. Professionals in this role may work in banking, fintech, investment firms, or insurance, leveraging Python libraries like Pandas, NumPy, and Scikit-learn for data analysis and machine learning. These roles often require knowledge of financial markets, quantitative analysis, and data processing to optimize decision-making and strategy development.

What are the key skills and qualifications needed to thrive in the Python Financial position, and why are they important?

To thrive as a Python Financial professional, you need strong programming skills in Python, a background in finance or quantitative analysis, and experience with data analysis and modeling. Familiarity with libraries such as pandas, NumPy, and financial data APIs, along with knowledge of tools like Jupyter notebooks and relevant certifications (e.g., CFA or Financial Risk Manager), is important. Attention to detail, analytical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies enable individuals to extract insights from data, automate financial processes, and support effective business decision-making.

What are popular job titles related to Python Financial jobs in Charlotte, NC? For Python Financial jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Python Financial jobs in Charlotte, NC look for? The top searched job categories for Python Financial jobs in Charlotte, NC are:
Python Financial jobs near you
Infographic showing various Python Financial job openings in Charlotte, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $119,093 per year, or $57.3 per hour.
Lead Python Developer - Mongo DB

Lead Python Developer - Mongo DB

Accord Technologies Inc.

Charlotte, NC • On-site

$136K - $168K/yr

Contractor

Re-posted 4 hours ago

Job description

Job Title: Lead Python Developer (MongoDB)
Location: Charlotte, NC (Hybrid/Onsite – In-Person Interview Required)
Duration:12 months
Employment Type: W2 contract
This position requires an in-person interview at our Charlotte, NC office.
Job Description

We are looking for an experienced Lead Python Developer with strong expertise in MongoDB to join our innovative technology team in Charlotte, NC. In this role, you will lead the design, development, and optimization of high-performance Python applications with a focus on NoSQL databases, microservices, and cloud-native solutions. The ideal candidate will have a proven track record in backend development, database architecture, and technical leadership.

Key Responsibilities

  • Lead the design and development of scalable Python-based applications with MongoDB as the primary database.

  • Architect and optimize NoSQL database schemas, queries, and indexing strategies for high performance.

  • Develop RESTful APIs, microservices, and event-driven systems using frameworks like FastAPI, Flask, or Django.

  • Implement data processing pipelines (ETL/ELT) for real-time and batch analytics.

  • Ensure database security, replication, and sharding best practices in MongoDB.

  • Collaborate with frontend developers, DevOps, and cloud engineers to deploy applications on AWS/Azure/GCP.

  • Mentor junior developers, conduct code reviews, and enforce coding standards.

  • Troubleshoot performance bottlenecks and ensure high availability (HA) and disaster recovery (DR) strategies.

  • Work in an Agile/Scrum environment and drive CI/CD automation.

Required Qualifications

  • 9+ years of hands-on Python development experience, with at least 4+ years in MongoDB.

  • Strong expertise in MongoDB (aggregation pipelines, indexing, replication, sharding).

  • Proficiency in Python frameworks (FastAPI, Flask, Django) and asynchronous programming.

  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).

  • Knowledge of event-driven architectures (Kafka, RabbitMQ) and caching (Redis).

  • Familiarity with DevOps practices (CI/CD, IaC, monitoring).

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • Strong problem-solving skills and ability to lead a technical team.

Preferred Qualifications

  • MongoDB Certification or AWS/Azure Cloud Certification.

  • Experience in financial services, banking, or fintech.

  • Knowledge of Big Data technologies (Spark, Hadoop).